Table of Contents

• Towards an artificial immune system for network intrusion detection: an investigation of dynamic clonal selectionJungwon Kim, Peter J. Bentley. 1015-1020 [doi]
• Decentralized control system for autonomous navigation based on an evolved artificial immune networkRoberto Michelan, Fernando J. Von Zuben. 1021-1026 [doi]
• The computer defense immune system: current and future research in intrusion detectionKevin P. Anchor, Paul D. Williams, Gregg H. Gunsch, Gary B. Lamont. 1027-1032 [doi]
• A foundation for kilorobotic explorationSurya P. N. Singh, Scott M. Thayer, Wesley P. Thayer. 1033-1038 [doi]
• Anomaly detection in multidimensional data using negative selection algorithmDipankar Dasgupta, Nivedita Sumi Majumdar. 1039-1044 [doi]
• Revisiting LISYS: parameters and normal behaviorJustin Balthrop, Stephanie Forrest, Matthew R. Glickman. 1045-1050 [doi]
• MOPSO: a proposal for multiple objective particle swarm optimizationCarlos A. Coello Coello, Maximino Salazar Lechuga. 1051-1056 [doi]
• Applications of evolutionary computation in electric power systemsAlexandre P. Alves da Silva, Pedro José Abrao. 1057-1062 [doi]
• Genetic algorithms applications in electrical distribution systemsDjalma M. Falcão. 1063-1068 [doi]
• A real-coded genetic algorithm involving a hybrid crossover method for power plant control system designKwang Y. Lee, Parvez Syed Mohamed. 1069-1074 [doi]
• Border identification for power system security assessment using neural network inversion: an overviewIkas N. Kassabalidis, M. A. El-Sharkawi, Robert J. Marks II. 1075-1079 [doi]
• EPSO - best-of-two-worlds meta-heuristic applied to power system problemsVladimiro Miranda, Nuno Fonseca. 1080-1085 [doi]
• Generating war game strategies using a genetic algorithmTimothy E. Revello, Robert McCartney. 1086-1091 [doi]
• An evolutionary approach for pose determination and interpretation of occluded articulated objectsShinn-Ying Ho, Zhen-Bang Huang, Shinn-Jang Ho. 1092-1097 [doi]
• Genetic algorithm approach to nonlinear blind source separationFernando Rojas 0001, Carlos García Puntonet, Ignacio Rojas, Julio Ortega 0001, Arieto Prieto. 1098-1102 [doi]
• Issues on the optimisation of evolutionary algorithms codePierre Collet, Jean Louchet, Evelyne Lutton. 1103-1108 [doi]
• Evolving crushersPhilip Hingston, Luigi Barone, Lyndon While. 1109-1114 [doi]
• Evolutionary algorithm for speech segmentationDiego H. Milone, Juan Julián Merelo, Hugo Leonardo Rufiner. 1115-1120 [doi]
• A Network IDS with low false positive rateYan Qiao, Weixin Xie. 1121-1126 [doi]
• Multi-objective evolutionary guidance for swarmsEvan J. Hughes. 1127-1132 [doi]
• An evolutionary algorithm for constrained multi-objective optimizationFernando Jimenez, Antonio F. Skarmeta-Gómez, Gracia Sánchez, Kalyanmoy Deb. 1133-1138 [doi]
• Preliminary statement on the current progress of multi-objective evolutionary algorithm performance measurementKiam Heong Ang, Gregory Chong, Yun Li 0002. 1139-1144 [doi]
• Multiobjective optimization using a Pareto differential evolution approachNateri K. Madavan. 1145-1150 [doi]
• Design of multi-objective evolutionary algorithms: application to the flow-shop scheduling problemMatthieu Basseur, Franck Seynhaeve, El-Ghazali Talbi. 1151-1156 [doi]
• Comparing a coevolutionary genetic algorithm for multiobjective optimizationJason D. Lohn, William F. Kraus, Gary L. Haith. 1157-1162 [doi]
• Distinguishing adaptive from non-adaptive evolution using Ashby's law of requisite varietyAnil K. Seth. 1163-1168 [doi]
• A scalable genetic algorithm for the rectilinear Steiner problemBryant A. Julstrom. 1169-1173 [doi]
• Genetic approach to pole placement by static output feedbackNasser Sadati, S Kuchakkhani. 1174-1179 [doi]
• Co-evolutionary global optimization algorithmMasao Iwamatsu. 1180-1184 [doi]
• An investigation of a hyperheuristic genetic algorithm applied to a trainer scheduling problemPeter I. Cowling, Graham Kendall, Limin Han. 1185-1190 [doi]
• Search landscape of a realistic single-machine scheduling task: peaks with big differencesPaul J. Darwen. 1191-1196 [doi]
• A multi criteria meta-heuristic approach to nurse rosteringEdmund K. Burke, Patrick De Causmaecker, Sanja Petrovic, Greet Vanden Berghe. 1197-1202 [doi]
• A fuzzy evolutionary approach with Taguchi parameter setting for the set covering problemJingpeng Li, Raymond S. K. Kwan. 1203-1208 [doi]
• Overfitting avoidance in genetic programming of polynomialsNikolay I. Nikolaev, Lilian M. de Menezes, Hitoshi Iba. 1209-1214 [doi]
• A novel modular product unit neural network for modelling constrained spatial interaction flowsManfred M. Fischer. 1215-1220 [doi]
• Generation of comprehensible decision trees through evolution of training dataTaichirou Endou, Qiangfu Zhao. 1221-1225 [doi]
• GPSQL Miner: SQL-grammar genetic programming in data miningCelso Y. Ishida, Aurora T. R. Pozo. 1226-1231 [doi]
• Machine intelligence of a mobile manipulator to utilize dynamically interfered motion and nonlinear frictionMamoru Minami, Atsushi Tamamura, Toshiyuki Asakura. 1232-1237 [doi]
• A genetic rule-based data clustering toolkitIoannis A. Sarafis, Ali M. S. Zalzala, Philip W. Trinder. 1238-1243 [doi]
• Towards evolutionary optimisation for high resolution bathymetry from sidescan sonarsE. Avgerinos, Ali M. S. Zalzala, G. Zografos. 1244-1249 [doi]
• Evolutionary computation in identification of a tumorTadeusz Burczynski, Wacok Kus, E. Majchrzak, Piotr Orantek, Mirek Dziewonski. 1250-1254 [doi]
• Design of cascaded controllers for DC drives using evolutionary algorithmsFrancesco Cupertino, David Naso, Luigi Salvatore, Biagio Turchiano. 1255-1260 [doi]
• Combining evolution strategies with Lagrangian relaxation for constructing nonslicing VLSI floorplans with soft modulesMalgorzata Chrzanowska-Jeske, Garrison W. Greenwood, Benyi Wang. 1261-1266 [doi]
• Evolved fault tolerance in evolvable hardwareRichard Canham, Andy M. Tyrrell. 1267-1271 [doi]
• Autonomous robot navigation via intrinsic evolutionKay Chen Tan, Chee-Meng Chew, Kok Kiong Tan, L. F. Wang, Y. J. Chen. 1272-1277 [doi]
• Swarm directions embedded in fast evolutionary programmingChengjian Wei, Zhenya He, Yifeng Zhang, Wenjiang Pei. 1278-1283 [doi]
• Evolutionary diffusion optimization. II. Performance assessmentKwok Ching Tsui, Jiming Liu 0001. 1284-1289 [doi]
• Solving traveling salesman problems by combining global and local search mechanismsHuai-Kuang Tsai, Jinn-Moon Yang, Cheng-Yan Kao. 1290-1295 [doi]
• Greedy closure evolutionary algorithmsDaniel A. Ashlock, Ling Guo, Fang Qiu. 1296-1301 [doi]
• Mining multiple comprehensible classification rules using genetic programmingKay Chen Tan, Arthur Tay, Tong Heng Lee, C. M. Heng. 1302-1307 [doi]
• Intelligent predictive control of a power plant with evolutionary programming optimizer and neuro-fuzzy identifierHamid Ghezelayagh, Kwang Y. Lee. 1308-1313 [doi]
• A hybrid approach to learn Bayesian networks using evolutionary programmingMan Leung Wong, Shing Yan Lee, Kwong-Sak Leung. 1314-1319 [doi]
• Evolutionary adaptive-critic methods for reinforcement learningXin Xu 0001, Hangen He, Dewen Hu. 1320-1325 [doi]
• Solving the symbolic regression problem with tree-adjunct grammar guided genetic programming: the comparative resultsNguyen Xuan Hoai, Robert Ian (Bob) McKay, Darly Essam, R. Chau. 1326-1331 [doi]
• Linkage identification based on epistasis measures to realize efficient genetic algorithmsMasaharu Munetomo. 1332-1337 [doi]
• Gene SPILL: an evolutionary algorithm based on bacterial gene exchangeSanjoy Das. 1338-1342 [doi]
• Evaluation of search performance of bacterial evolutionary algorithmKosuke Yamamoto, Tomohiro Yoshikawa, Takeshi Furuhashi, Tsuyoshi Shinogi, Shinji Tsuruoka. 1343-1347 [doi]
• Neutrality and ruggedness in robot landscapesTom Smith, Andrew Philippides, Phil Husbands, Michael O'Shea. 1348-1353 [doi]
• Neutrality: a necessity for self-adaptationMarc Toussaint, Christian Igel. 1354-1359 [doi]
• Issues in designing a neutral genotype-phenotype mappingRob Shipman, Mark Shackleton. 1360-1365 [doi]
• Learning grammars with a modified classifier systemWalling R. Cyre. 1366-1371 [doi]
• Genetic programming with smooth operators for arithmetic expressions: diviplication and subditionRasmus K. Ursem, Thiemo Krink. 1372-1377 [doi]
• Design of high performance fuzzy controllers using flexible parameterized membership functions and intelligent genetic algorithmsShinn-Ying Ho, Tai-Kang Chen, Shinn-Jang Ho. 1378-1383 [doi]
• Coevolutionary design of Takagi-Sugeno fuzzy systemsMyriam Regattieri Delgado, Fernando J. Von Zuben, Fernando A. C. Gomide. 1384-1389 [doi]
• Blocked stochastic sampling versus Estimation of Distribution AlgorithmsRoberto Santana, Heinz Mühlenbein. 1390-1395 [doi]
• Evolutionary optimization by distribution estimation with mixtures of factor analyzersDong-Yeon Cho, Byoung-Tak Zhang. 1396-1401 [doi]
• We need multiple solutions for electric equipments configuration in a power plant - applying Bayesian optimization algorithm with Tabu searchYuji Katsumata, Setuya Kurahashi, Takao Terano. 1402-1407 [doi]
• An investigation, using co-evolution, to evolve an Awari playerJames Edward Davis, Graham Kendall. 1408-1413 [doi]
• Network performance of distributed coevolutionary agentsRaj Subbu, Arthur C. Sanderson. 1414-1419 [doi]
• Learning lessons from the common cold: How reducing parasite virulence improves coevolutionary optimizationJohn Cartlidge, Seth Bullock. 1420-1425 [doi]
• Co-evolving automata negotiate with a variety of opponentsDavid D. B. van Bragt, Johannes A. La Poutré. 1426-1431 [doi]
• Artificial life system and its application to multiple-fuel economic load dispatch problemTaiji Satoh, Heijiro Kuwabara, Masakazu Kanezashi, Koichi Nara. 1432-1437 [doi]
• The effect of routing under local information using a social insect metaphorSuiliong Liang, A. Nur Zincir-Heywood, Malcom I. Heywood. 1438-1443 [doi]
• Swarm intelligence on the binary constraint satisfaction problemLuk Schoofs, Bart Naudts. 1444-1449 [doi]
• Evolving ant colony systems in hardware for random number generationJason C. Isaacs, Robert K. Watkins, Simon Y. Foo. 1450-1455 [doi]
• Dissipative particle swarm optimizationXiao-Feng Xie 0001, Wen-Jun Zhang 0002, Zhilian Yang. 1456-1461 [doi]
• Improvised music with swarmsTim M. Blackwell, Peter J. Bentley. 1462-1467 [doi]
• A constraint handling approach for the differential evolution algorithmJouni Lampinen. 1468-1473 [doi]
• Particle swarm optimisation with spatial particle extensionThiemo Krink, Jakob Vesterstrom, Jacques Riget. 1474-1479 [doi]
• Development of FPGA based adaptive image enhancement filter system using genetic algorithmsJi Hun Koo, Tae-Seon Kim, Sung Soo Dong, Chong-Ho Lee. 1480-1485 [doi]
• Efficient machine-code test-program inductionFulvio Corno, Gianluca Cumani, Matteo Sonza Reorda, Giovanni Squillero. 1486-1491 [doi]
• Graph-based individual representation for evolutionary synthesis of arithmetic circuitsNaofumi Homma, Takafumi Aoki, Tatsuo Higuchi 0001. 1492-1497 [doi]
• The force model: reducing the complexity by reformulating the problemRalf Salomon. 1498-1503 [doi]
• Using a co-operative co-evolutionary genetic algorithm to solve optimal control problems in a hysteresis systemKittipong Boonlong, Nachol Chaiyaratana, Suwat Kuntanapreeda. 1504-1509 [doi]
• And the winner is...Not the fittest [coevolution]Hugues Bersini. 1510-1515 [doi]
• Deterministic crowding, recombination and self-similarityBo Yuan. 1516-1521 [doi]
• Realizing unstable social efficiency with mutual learning of meta-rulesYukikazu Murakami, Hiroshi Sato, Akira Namatame. 1522-1527 [doi]
• Cross entropy guided ant-like agents finding dependable primary/backup path patterns in networksOtto J. Wittner, Bjarne E. Helvik. 1528-1533 [doi]
• Multi-agent learning via implicit opponent modelingRonald V. Bjarnason, Todd S. Peterson. 1534-1539 [doi]
• A scalable and robust framework for distributed applicationsMárk Jelasity, Mike Press, Ben Paechter. 1540-1545 [doi]
• A new classifier based on resource limited artificial immune systemsAndrew B. Watkins 0001, Lois C. Boggess. 1546-1551 [doi]
• Ant algorithm for construction of evolutionary treeShin Ando, Hitsohi Iba. 1552-1557 [doi]
• Ant colony optimization for FOP shop scheduling: a case study on different pheromone representationsChristian Blum 0001, Michael Sampels. 1558-1563 [doi]
• Letting ants labeling point features [sic.: for 'labeling' read 'label']Michael Schreyer, Günther R. Raidl. 1564-1569 [doi]
• Division of labor in particle swarm optimisationJakob Vesterstrom, Jacques Riget, Thiemo Krink. 1570-1575 [doi]
• Particle swarm optimization for minimax problemsElena C. Laskari, Konstantinos E. Parsopoulos, Michael N. Vrahatis. 1576-1581 [doi]
• Particle swarm optimization for integer programmingElena C. Laskari, Konstantinos E. Parsopoulos, Michael N. Vrahatis. 1582-1587 [doi]
• Extending particle swarm optimisers with self-organized criticalityMorten Løvbjerg, Thiemo Krink. 1588-1593 [doi]
• Enhancing game theory with coevolutionary simulation models of honest signallingDave Harris, Seth Bullock. 1594-1599 [doi]
• Analyzing cooperative coevolution with evolutionary game theoryR. Paul Wiegand, William C. Liles, Kenneth A. De Jong. 1600-1605 [doi]
• Exploitation and peacekeeping: introducing more sophisticated interactions to the iterated prisoner's dilemmaToby Ord, Alan Blair. 1606-1611 [doi]
• A coevolutionary approach to adapt the genotype-phenotype map in genetic algorithmsHajime Murao, Hisashi Tamaki, Shinzo Kitamura. 1612-1617 [doi]
• An evolutionary programming approach for detecting novel computer network attacksKevin P. Anchor, Gary B. Lamont, Gregg H. Gunsch. 1618-1623 [doi]
• A novel multiple-searching genetic algorithm for multimedia multicast routingChun-Wei Tsai, Cheng-Fa Tsai, Chi-Ping Chen. 1624-1629 [doi]
• A heuristic ant algorithm for solving QoS multicast routing problemChao-Hsien Chu, Junhua Gu, Xiangdan Hou, Qijun Gu. 1630-1635 [doi]
• A new approach for solving large traveling salesman problemCheng-Fa Tsai, Chun-Wei Tsai, Ching-Chang Tseng. 1636-1641 [doi]
• Fuzzy biasless simulated evolution for multiobjective VLSI placementJunaid A. Khan, Sadiq M. Sait, Mahmood R. Minhas. 1642-1647 [doi]
• Dynamic population size in multiobjective evolutionary algorithmsHaiming Lu, Gary G. Yen. 1648-1653 [doi]
• AntTAG: a new method to compose computer programs using colonies of antsHussein A. Abbass, Nguyen Xuan Hoai, Robert I. McKay. 1654-1659 [doi]
• Devising a cost effective baseball scheduling by evolutionary algorithmsJih Tsung Yang, Hsien-Da Huang, Jorng-Tzong Horng. 1660-1665 [doi]
• Adaptive particle swarm optimization: detection and response to dynamic systemsXiaohui Hu, Russell C. Eberhart. 1666-1670 [doi]
• Population structure and particle swarm performanceJames Kennedy, Rui Mendes 0001. 1671-1676 [doi]
• Multiobjective optimization using dynamic neighborhood particle swarm optimizationXiaohui Hu, Russell C. Eberhart. 1677-1681 [doi]
• Co-evolutionary particle swarm optimization to solve min-max problemsYuhui Shi, Renato A. Krohling. 1682-1687 [doi]
• Solving numerical equations of hydraulic problems using particle swarm optimizationRenato A. Krohling, Helder Knidel, Yuhui Shi. 1688-1690 [doi]
• Don't push me! Collision-avoiding swarmsTim M. Blackwell, Peter J. Bentley. 1691-1696 [doi]
• A comparison of reproductive success and the effect of mating restrictions in coarse-grained parallel genetic algorithmsJonathan Vincent. 1697-1702 [doi]
• Evolving parallel machine programs for a multi-ALU processorKwong-Sak Leung, Kin-Hong Lee, Sin Man Cheang. 1703-1708 [doi]
• The effects of varying population density in a fine-grained parallel genetic algorithmXiaodong Li 0001, Michael Kirley. 1709-1714 [doi]
• Reduction of communication quantity for network based parallel GAKazunori Kojima, Hiroshi Matsuo, Masaaki Ishigame. 1715-1720 [doi]
• Fault-tolerant network computation of individuals in genetic algorithmsAndrew Hamilton-Wright, Deborah A. Stacey. 1721-1726 [doi]
• Studying the influence of synchronous and asynchronous parallel GP on programs length evolutionGermán Galeano Gil, Francisco Fernández, Marco Tomassini, Leonardo Vanneschi. 1727-1732 [doi]
• Hybrid genetic algorithms and random linkageJeffrey A. Joines, Michael G. Kay. 1733-1738 [doi]
• Applying evolutionary programming to improve branch classification in the hybrid branch prediction method using Switch-CounterRuijian Zhang, Willis K. King, Qingdong Wang. 1739-1744 [doi]
• A symbiotic evolutionary algorithm for dynamic facility layout problemMing Chang, Kazuhiro Ohkura, Kanji Ueda, Masaharu Sugiyama. 1745-1750 [doi]
• Automated time table generation using multiple context reasoning for university modulesDipti Srinivasan, Tian Hou Seow, Jianxin Xu 0001. 1751-1756 [doi]
• Efficient evolution of neural network topologiesKenneth O. Stanley, Risto Miikkulainen. 1757-1762 [doi]
• The fast neural network solution for problems based on slow genetic algorithm solutionsYan Wang, Yilong Lu. 1763-1768 [doi]
• An evolutionary method for the design of generic neural networksDavid J. Edwards, Keith Brown, Nick Taylor. 1769-1774 [doi]
• Hierarchical evolution of heterogeneous neural networksDaniel Weingaertner, Victor K. Tatai, Ricardo R. Gudwin, Femando J J. Von Zuben. 1775-1780 [doi]
• Performance and population state metrics for rule-based learning systemsTim Kovacs. 1781-1786 [doi]
• A co-evolutionary framework for clustering in information retrieval systemsAkiko Aizawa. 1787-1792 [doi]
• Reinforcement learning in steady-state cellular genetic algorithmsCin-Young Lee, Erik K. Antonsson. 1793-1797 [doi]
• Co-evolutionary classifier systems for multi-agent simulationLuis Miramontes Hercog, Terence C. Fogarty. 1798-1803 [doi]
• Resolving ambiguity in depth extraction for motion capture using genetic algorithmYin Yee Wai, Chi Kin Chow, Tong Lee. 1804-1809 [doi]
• Adaptive distributed cachingMarkus J. Kaiser, Kwok Ching Tsui, Jiming Liu 0001. 1810-1815 [doi]
• A genetic algorithm approach for optimal distribution feeder restoration during cold load pickupSudhakar Chavali, Anil Pahwa, Sanjoy Das. 1816-1819 [doi]
• Parallel implementation of niched Pareto genetic algorithm code for X-ray plasma spectroscopyIgor E. Golovkin, Sushil J. Louis, Roberto C. Mancini. 1820-1824 [doi]
• Improving evolutionary algorithm performance on maximizing functional test coverage of ASICs using adaptation of the fitness criteriaBurcin Aktan, Garrison W. Greenwood, Molly H. Shor. 1825-1829 [doi]
• Fuzzy controller implementations with fewer than ten transistors?Adrian Stoica, Ricardo Salem Zebulum, Didier Keymeulen, Michael I. Ferguson, Vu Duong. 1830-1835 [doi]
• The evolved radio and its implications for modelling the evolution of novel sensorsJon Bird, Paul J. Layzell 0002. 1836-1841 [doi]
• Towards a genetic algorithms approach to designing 3D polygonal tree modelsRaymond H. Mazza, Clare Bates Congdon. 1842-1847 [doi]
• Advantages of global discrete recombination in (/spl mu///spl mu/, /spl lambda/, )-evolution strategiesYoshiyuki Matsumura, Kazuhiro Ohkura, Kanji Ueda. 1848-1853 [doi]
• Using evolutionary algorithm for generation of dense families of circulant networksOmon Monakhov, Emilia Monakhova. 1854-1859 [doi]
• Multiobjective optimization of current waveforms for switched reluctance motors by genetic algorithmJianxin Xu 0001, Sanjib Kumar Panda, Qing Zheng. 1860-1865 [doi]
• A genetic algorithm for integrated cell formation and layout decisionsXiaodan Wu, Chao-Hsien Chu, Yunfeng Wang, Weli Yan. 1866-1871 [doi]
• Evolving modular genetic regulatory networksJosh Bongard. 1872-1877 [doi]
• Evolving the mapping between input neurons and multi-source imageryPeter R. W. Harvey, David M. Booth, James F. Boyce. 1878-1883 [doi]
• A novel evolutionary neural learning algorithmBrijesh K. Verma, Ranadhir Ghosh. 1884-1889 [doi]
• A GA-based RBF classifier with class-dependent featuresXiuju Fu, Lipo Wang. 1890-1894 [doi]
• Facial feature extraction using genetic algorithmGary G. Yen, Nethrie Nithianandan. 1895-1900 [doi]
• Evolutionary programming to optimize an assembly programBrian Blaha, Donald C. Wunsch II. 1901-1903 [doi]
• Circuit design using evolutionary algorithmsThomas Beielstein, Jan Dienstuhl, Christian Feist, Marc Pompl. 1904-1909 [doi]
• Evolutionary swarm traffic: if ant roads had traffic lightsRicardo M. Hoar, Joanne K. Penner, Christian Jacob 0001. 1910-1915 [doi]
• Rule extraction from an RBF classifier based on class-dependent featuresXiuju Fu, Lipo Wang. 1916-1921 [doi]
• Towards an evolutionary neural network for gait analysisPeter Mordaunt, Ali M. S. Zalzala. 1922-1927 [doi]
• Learning of neural network parameters using a fuzzy genetic algorithmSteve S. H. Ling, Hak-Keung Lam, Frank H. F. Leung, Peter Kwong-Shun Tam. 1928-1933 [doi]
• GA with orthogonal transformation for RBFN configurationÖzer Ciftcioglu. 1934-1939 [doi]
• Evolutionary optimized pitching motion control for F-16 aircraftKang-Hee Lee, Chi-Ho Lee, Jong-Hwan Kim, Han-Lim Choi, Min-Jea Tahk. 1940-1945 [doi]
• Co-evolutionary algorithm approach to a university timetable systemChee Keong Chan, Hoay Beng Gooi, Meng-Hiot Lim. 1946-1951 [doi]
• Evolving spring-mass models: a test-bed for graph encoding schemesSimon Lucas. 1952-1957 [doi]
• A memetic algorithm instantiated with selection sort consistently finds global optima for the error-correcting graph isomorphismRodolfo Torres-Velázquez, Vladimir Estivill-Castro. 1958-1963 [doi]
• Optimal initial structure of the RBF networks using time-frequency localization and genetic algorithmSeong-Joo Kim, Jong Soo Kim, Jae-Yong Seo, Hyun-Chan Cho, Hong-Tae Jeon. 1964-1969 [doi]
• Evolving fixed-weight networks for learning robotsElio Tuci, Matt Quinn, Inman Harvey. 1970-1975 [doi]
• Biological immune system by evolutionary adaptive learning of neural networksShinichi Oeda, Takumi Icmmura, Toshiyuki Yamashita. 1976-1981 [doi]
• A new DNA-based evolutionary algorithm with application to the design of fuzzy controllersYongsheng Ding, Lihong Ren. 1982-1987 [doi]
• Predicting alarms in supermarket refrigeration systems using evolved neural networks and evolved rulesetsDan W. Taylor, David W. Corne, David L. Taylor, Jack Harkness. 1988-1993 [doi]
• Comparison of Khepera robot navigation by evolutionary neural networks and pain-based algorithmLiu Xin, Prahlad Vadakkepat, Tong Heng Lee, Xiao Peng, Pang Ki Kim. 1994-1999 [doi]
• Variable selection for financial distress classification using a genetic algorithmRoberto Kawakami Harrop Galvão, Victor M. Becerra, Magda Abou-Seada. 2000-2005 [doi]
• Evolving short-term trading strategies using genetic programmingNils Svangård, Peter Nordin, Stefan Lloyd, Clas Wihlborg. 2006-2010 [doi]
• A study on behavioral structure of artificial market based on adaptive gameTakahiro Hamada, Hidenori Kawamura, Masahito Yamamoto, Azuma Ohuchi. 2011-2016 [doi]
• Dynamic optimization by evolutionary algorithms applied to financial time seriesKazuko Yamasaki, Kazuhisa Kitakaze, Masuteru Sekiguchi. 2017-2022 [doi]
• Evolutionary approaches for statistical modellingTommaso Minerva, Sandra Paterlini. 2023-2028 [doi]
• Evolution of market mechanism through a continuous space of auction-typesDave Cliff. 2029-2034 [doi]